createGlobalModelConfig: Create GlobalModelConfig Object

In stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

Create GlobalModelConfig Object

Description

Create a global model config object

This function is intended for advanced use cases in which users require detailed control of sampling algorithms and data structures. Minimal input validation and error checks are performed – users are responsible for providing the correct inputs. For tutorials on the "proper" usage of the stochtree's advanced workflow, we provide several vignettes at https://stochtree.ai/

Usage

createGlobalModelConfig(global_error_variance = 1)

Arguments

global_error_variance

Global error variance parameter (default: 1.0)

Value

GlobalModelConfig object

Examples

config <- createGlobalModelConfig(global_error_variance = 100)

stochtree documentation built on April 29, 2026, 1:08 a.m.